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Continuous random variable: Normal distribution


haese225

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If Z~N(0,1), prove that for positive k:

P(|Z|<k) = 2 - 2Φ(k).

I'm pretty certain the 2 - 2Φ(k) part comes from symmetry with the distribution if Φ(k) is negative.

Pretty tough question but here's my working. Hoping someone can develop this further...

Thanks :) 

File_000.jpeg

Edited by 4lan
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The phi of x is the probabilitiy density function, for which its area under the curve are the probabilities. So basically question asks to prove a relationahip between the cumulative density and the probability density functions, that of which applies to -k to k of the standard normal distribution. 

However the relationship is not true, because for large k, say k = 1000, phi pf k is very close to 0, and 2-2* 0.00 is 2, which is not a valid probability. 

Also not sure why you sketch a bimodal distribution, when you are dealing with normal distribution.

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